What is the primary goal of automation in Big Data testing?
- Ensuring data accuracy
- Handling large datasets efficiently
- Speeding up manual testing processes
- Validating user interfaces
The primary goal of automation in Big Data testing is to handle large datasets efficiently. Automation tools help in processing and analyzing large volumes of data, ensuring that the testing process is not only faster but also capable of handling the scale of data typical in Big Data applications.
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